摘要
农业领域的专家知识多是描述性和经验性的知识,难以进行精确的数学描述,这给农业决策支持系统的构建带来了一定的困难。为解决这种传统的决策支持系统的不足,介绍了基于数据仓库技术和数据挖掘技术构建的温室决策支持系统。该系统通过建立数据仓库来存储各种来自异质的信息源的数据,利用联机分析处理实现多维数据分析,然后通过数据挖掘技术从数据仓库中获得新的农业知识,以丰富决策支持系统的知识库。在系统的实现过程中,采用了SQL Server分析服务,实现数据挖掘与数据仓库以及应用程序的紧密耦合,从而大大提高了数据挖掘效率。将数据仓库、联机分析处理、数据挖掘三者结合起来形成了一种新的温室决策支持系统。
Most of expert knowledge in agriculture is descriptive and experiential, so it is difficult to describe in mathematics and build decision support system for greenhouse. Therefore, the decision support system for greenhouse constructed with data warehouse and data mining technology was introduced in this paper. In the system, data warehouse was founded to memorize diversified data, and the use of on-line analytical processing and data mining enriched knowledge base with new agriculture information. Implementation of system adopted SQL Server analysis, as a result, tightness coupling of data warehouse, data mining and application, improved the efficiency of data mining. Combined with data warehouse, on-line analytical processing （OLAP） and data mining were adopted to construct a novel decision support system.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2008年第11期169-171,共3页
Transactions of the Chinese Society of Agricultural Engineering
基金
北京市科技计划项目(Z0006321001391)
863重大专项(2006AA10A311)
